Regional soil attribute evaluation method and device and electronic equipment

Abstract

The invention provides a regional soil attribute evaluation method and apparatus, and an electronic device. The method comprises the steps of dividing a region into a plurality of evaluation units; dividing the plurality of evaluation units into a sample point sparse region and a sample point non-sparse region according to the sample point richness and the sample point spatial aggregation degree; selecting at least one sample point from the sample point non-sparse region as a reference sample point of the to-be-evaluated unit according to the regional environment similarity between the candidate sample points in the to-be-evaluated unit and the sample points in the sample point non-sparse region; the to-be-evaluated unit is an evaluation unit located in the sample point sparse region; and obtaining a soil attribute evaluation result of the to-be-evaluated unit according to the soil attribute of the existing sample point and the soil attribute of the reference sample point in the to-be-evaluated unit. According to the method, the problem that the soil attribute distribution in the evaluation unit cannot be effectively described when the evaluation unit lacks the distribution sample points or the distribution of the sample points is uneven in the regional soil attribute evaluation process is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of soil investigation, and in particular to a method, device and electronic equipment for evaluating regional soil properties. Background Art

[0002] Acquiring soil property information in a region based on soil survey sampling is an important technical means for conducting soil environmental quality research and practice. Among them, the soil property information at the sampling point is the main basis for understanding the overall trend and distribution differences of soil properties in the survey area. Its basic evaluation process is to divide the evaluation unit, estimate the soil property value in the evaluation unit, and obtain the soil property distribution characteristics in the entire region. However, when there are no distribution points in the evaluation unit or the distribution of the points is uneven, it is impossible to effectively characterize the soil property distribution in the evaluation unit. Summary of the invention

[0003] The present invention provides a method, device and electronic equipment for evaluating regional soil properties, which are used to solve the problem that, in the process of regional soil property evaluation, when there are no distribution sample points in the evaluation unit or the sample points are unevenly distributed, the soil property distribution in the evaluation unit cannot be effectively characterized.

[0004] The present invention provides a method for evaluating regional soil properties, comprising the following steps: Divide the area into multiple evaluation units, and obtain the sample point richness and sample point spatial aggregation of each evaluation unit; According to the sample point richness and the sample point spatial aggregation, the plurality of evaluation units are divided into a sample point sparse area and a sample point non-sparse area; According to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area, at least one sample point is selected from the sample point non-sparse area as a reference sample point of the unit to be evaluated; the unit to be evaluated is an evaluation unit located in the sample point sparse area; According to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points, a soil property evaluation result of the unit to be evaluated is obtained.

[0005] According to the regional soil property evaluation method provided by the present invention, obtaining the sample point richness of each evaluation unit includes: According to the existing sample point quantity and unit area of ​​each evaluation unit, the sample point richness of each evaluation unit is obtained.

[0006] According to the regional soil property evaluation method provided by the present invention, obtaining the spatial aggregation degree of the sample points of each evaluation unit includes: According to the sample point position of each sample point in the region, a regional triangulation network of the region is constructed; the regional triangulation network is composed of a plurality of triangulated regions; According to the area of ​​each triangular area, the area of ​​the largest triangular area, and the area of ​​the smallest triangular area, the spatial aggregation degree of the sample points in each triangular area is obtained; The spatial aggregation degree of the sample points of each evaluation unit is obtained according to the area weight of each triangular region in each evaluation unit and the spatial aggregation degree of the sample points of each triangular region.

[0007] According to the regional soil property evaluation method provided by the present invention, the plurality of evaluation units are divided into sample point sparse areas and sample point non-sparse areas according to the sample point richness and the sample point spatial aggregation, including: Determine whether the sample point richness of the evaluation unit is greater than or equal to the sample point richness threshold, and determine whether the sample point spatial aggregation of the evaluation unit is greater than or equal to the sample point spatial aggregation threshold; If the sample point richness of the evaluation unit is greater than or equal to the sample point richness threshold, and the sample point spatial aggregation is less than the sample point spatial aggregation threshold, the evaluation unit is divided into a sample point non-sparse area; otherwise, the evaluation unit is divided into a sample point sparse area.

[0008] According to the regional soil property evaluation method provided by the present invention, the method comprises: selecting at least one sample point from the sample point non-sparse area as a reference sample point of the unit to be evaluated according to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area, comprising: Constructing a similarity matrix according to the regional environmental similarities between the candidate sample points in the unit to be evaluated and the sample points in the non-sparse area of ​​the sample points; the size of the similarity matrix is ​​determined by the number of candidate sample points in the unit to be evaluated and the number of sample points in the non-sparse area of ​​the sample points; Sort the similarity values ​​of each element in the similarity matrix from large to small, and select the top N elements in the sorting; wherein N is the number of reference sample points; The sample points in the non-sparse area of ​​the sample points corresponding to the first N number of elements in the sorting are obtained as reference sample points of the unit to be evaluated.

[0009] The method for evaluating regional soil properties provided by the present invention further includes: The number of the reference sample points is determined according to the sample point richness of the unit to be evaluated and the sample point richness of the area.

[0010] According to the regional soil property evaluation method provided by the present invention, obtaining the soil property evaluation result of the unit to be evaluated based on the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points includes: According to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points, the mean value of the soil properties of the unit to be evaluated is calculated to obtain a soil property evaluation result.

[0011] The present invention also provides a regional soil property evaluation device, comprising the following parts: A region division module, used to divide the region into multiple evaluation units, and obtain the sample point richness and sample point spatial aggregation of each evaluation unit; A unit division module, used for dividing the plurality of evaluation units into a sample point sparse area and a sample point non-sparse area according to the sample point richness and the sample point spatial aggregation degree; A sample point selection module, configured to select at least one sample point from the sample point non-sparse area as a reference sample point for the unit to be evaluated according to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area; the unit to be evaluated is an evaluation unit located in the sample point sparse area; The unit evaluation module is used to obtain the soil property evaluation result of the unit to be evaluated according to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points.

[0012] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, a method for evaluating regional soil properties as described in any one of the above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the method for evaluating regional soil properties as described in any one of the above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the method for evaluating regional soil properties as described in any one of the above is implemented.

[0015] The regional soil property evaluation method, device and electronic equipment provided by the present invention divide the evaluation units into sample sparse areas and sample non-sparse areas according to the sample point richness and sample point spatial aggregation of each evaluation unit in the region; and select sample points with similar regional environment to the candidate sample points in the unit to be evaluated from the sample non-sparse area as reference sample points for the unit to be evaluated, thereby ensuring that there are relatively representative sample points in each evaluation unit to characterize the soil property distribution characteristics in the region, thereby improving the accuracy of regional soil property evaluation at the same investigation and monitoring cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 It is one of the flow charts of the regional soil property evaluation method provided by the present invention.

[0018] Figure 2 This is the second flow chart of the regional soil property evaluation method provided by the present invention.

[0019] Figure 3 This is one of the schematic diagrams of the principle of calculating the spatial aggregation degree of sample points provided by the present invention.

[0020] Figure 4 This is the second schematic diagram of the principle of calculating the spatial aggregation degree of sample points provided by the present invention Figure 5 It is a structural schematic diagram of the regional soil property evaluation device provided by the present invention.

[0021] Figure 6 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] The terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the descriptions used in this way can be interchanged where appropriate, so that the embodiments can be implemented in a sequence other than that illustrated or described in the present application. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or modules is not necessarily limited to those steps or modules that are clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products or devices. The naming or numbering of the steps that appear in the present application does not mean that the steps in the method flow must be executed in the time / logical sequence indicated by the naming or numbering. The process steps that have been named or numbered can change the execution order according to the technical purpose to be achieved, as long as the same or similar technical effects can be achieved. The division of modules in this application is a logical division. There may be other division methods when it is implemented in actual applications. For example, multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, and the indirect coupling or communication connection between units can be electrical or other similar forms, which are not limited in this application. In addition, the modules or submodules described as separate components may or may not be physically separated, may or may not be physical units, or may be distributed in multiple circuit units, and some or all of the units may be selected according to actual needs to achieve the purpose of the present application.

[0024] Combine the following Figure 1-Figure 6 The specific contents of the present invention are described.

[0025] Figure 1 It is a flow chart of a method for evaluating regional soil properties provided by the present invention, including steps S101-S104.

[0026] Step S101: divide the region into multiple evaluation units, and obtain the sample point richness and sample point spatial aggregation of each evaluation unit.

[0027] Specifically, the region in the embodiment of the present invention refers to a geographical area where soil property survey, evaluation, and assessment are required. The region is divided into multiple evaluation units, usually based on multiple dimensions such as administrative divisions, land use types, and soil types, to determine multiple evaluation units in the region. In the embodiment of the present invention, the specific division method of the evaluation unit is not specifically limited, and it is subject to what can be implemented by those skilled in the art.

[0028] In the embodiment of the present invention, the sample point richness is used to characterize the richness of sample points in a certain geographical area (including the evaluation unit). For a geographical area of ​​the same area, the more sample points there are, the higher the sample point richness is. The sample point spatial aggregation is used to characterize the aggregation degree of sample points in a certain geographical area (including the evaluation unit). For example, for the same number of sample points, the smaller the space occupied, the higher the aggregation degree of the sample points.

[0029] In a possible implementation, in step S101, obtaining the sample point richness of each evaluation unit includes: obtaining the sample point richness of each evaluation unit according to the existing sample point quantity and unit area of ​​each evaluation unit.

[0030] Specifically, calculate the number of existing sample points of the i-th evaluation unit , and the unit area The sample richness of the i-th evaluation unit is determined by the following formula: It should be noted that, in the embodiment of the present invention, the existing sample points of the evaluation unit or the unit to be evaluated refer to the sampling points where soil property sampling has been performed inside the unit and the corresponding soil properties have been obtained.

[0031] In a possible implementation, in step S101, the spatial aggregation degree of the sample points of each evaluation unit is obtained, such as Figure 2 As shown, steps S201-S203 are included.

[0032] Step S201, constructing a regional triangulation network of the region according to the sample point position of each sample point in the region; the regional triangulation network is composed of multiple triangulated regions.

[0033] Specifically, by constructing the Delaunay triangulation network for each sample point in the region, the regional triangulation network is obtained. Figure 3 shown.

[0034] Step S202: Obtain the spatial concentration of the sample points in each triangular region according to the area of ​​each triangular region, the area of ​​the maximum triangular region, and the area of ​​the minimum triangular region.

[0035] For example, Figure 3 As shown, it includes multiple triangular areas, and the largest triangular area is obtained. Area , the minimum triangular area Area .

[0036] The present invention exemplarily provides a calculation formula for the spatial aggregation of sample points in a triangular area: Spatial aggregation of sample points in the i-th triangle area , determined according to the following formula: = It should be noted that other calculation formulas for the spatial aggregation of sample points can also be obtained based on the area of ​​each triangular area, the area of ​​the maximum triangular area, and the area of ​​the minimum triangular area. The present invention does not specifically limit the specific calculation formula for the spatial aggregation of sample points, which is based on the meaning that can characterize the spatial aggregation of sample points in the embodiment of the present invention.

[0037] Step S203 , obtaining the spatial aggregation degree of sample points of each evaluation unit according to the area weight of each triangular region in each evaluation unit and the spatial aggregation degree of sample points of each triangular region.

[0038] For example, Figure 4 As shown, for each evaluation unit, it may be composed of partial areas of multiple triangular regions. Figure 4 The dotted rectangle in the middle is composed of triangular area A, triangular area B and part of triangular area C. Among them, the part of triangular area A accounts for 30%, the part of triangular area B accounts for 40%, and the part of triangular area C accounts for 30%. The spatial aggregation of the sample points in triangular area A, triangular area B and triangular area C are , , . Then the spatial aggregation degree of the sample points of the evaluation unit is: 30% +40% +30% Step S102: divide the multiple evaluation units into sample point sparse areas and sample point non-sparse areas according to the sample point richness and the sample point spatial aggregation.

[0039] Specifically, the sample point richness and sample point spatial aggregation of the evaluation unit and their corresponding threshold ranges are combined to determine whether the evaluation unit is a sample point sparse area or a sample point non-sparse area.

[0040] In a possible implementation, in step S102, multiple evaluation units are divided into sample point sparse areas and sample point non-sparse areas according to sample point richness and sample point spatial aggregation, including: S102A, determining whether the sample point richness of the evaluation unit is greater than or equal to the sample point richness threshold, and determining whether the sample point spatial aggregation of the evaluation unit is greater than or equal to the sample point spatial aggregation threshold; S102B, if the sample point richness of the evaluation unit is greater than or equal to the sample point richness threshold, and the sample point spatial aggregation is less than the sample point spatial aggregation threshold, the evaluation unit is divided into a sample point non-sparse area; otherwise, the evaluation unit is divided into a sample point sparse area.

[0041] In the embodiment of the present invention, for any geographical area, a geographical area with a sample point richness lower than a sample point richness threshold is determined as a sample point insufficient area, and an area with a sample point richness higher than the sample point richness threshold is determined as a sample point sufficient area. A geographical area with a sample point spatial aggregation lower than a sample point spatial aggregation threshold is determined as a sample point distribution non-aggregated area, and an area with a sample point spatial aggregation higher than the aggregation threshold is determined as a sample point distribution aggregated area.

[0042] In the embodiment of the present invention, if the evaluation unit is both a sufficient sample point area and a sample point distribution non-clustered area, then the evaluation unit is a sample point non-sparse area.

[0043] Step S103, selecting at least one sample point from the sample point non-sparse area as a reference sample point for the unit to be evaluated according to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area; the unit to be evaluated is an evaluation unit located in the sample point sparse area.

[0044] Exemplarily, the regional environmental similarity of two sample points is obtained by calculating the Euclidean distance between the soil environmental characteristics of the two sample points. In the embodiment of the present invention, the soil environmental characteristics include but are not limited to elevation, slope, rainfall, temperature, etc.

[0045] In a possible implementation, in step S103, according to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area, at least one sample point is selected from the sample point non-sparse area as a reference sample point for the unit to be evaluated, including: Step S103A, constructing a similarity matrix according to the regional environmental similarities between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area; the size of the similarity matrix is ​​determined by the number of candidate sample points in the unit to be evaluated and the number of sample points in the sample point non-sparse area.

[0046] In the embodiment of the present invention, the candidate sample points are sample points in the unit to be evaluated for which soil property sampling has not been performed. The candidate sample points only have sample point coordinates but no corresponding soil properties.

[0047] For example, the number of candidate points in the unit to be evaluated is , there are a total of Sample points, construct similarity matrix : in, represents the i-th sample point in the non-sparse area of ​​samples, Represents the kth candidate sample point in the unit to be evaluated. It represents the regional environment similarity between the i-th sample point in the sample point non-sparse area and the k-th candidate sample point in the unit to be evaluated. is the Euclidean distance calculation function.

[0048] Step S103B, sorting the similarity values ​​of each element in the similarity matrix from large to small, and selecting the top N elements in the sorting; wherein N is the number of reference sample points.

[0049] Step S103C, obtaining sample points in the non-sparse area of ​​sample points corresponding to the first N number of elements in the sorting as reference sample points of the unit to be evaluated.

[0050] For example, if the first N elements in the sorting result are , , . Then the first sample point in the sample point non-sparse area is used as the reference sample point for the third candidate sample point in the unit to be evaluated; the sixth sample point in the sample point non-sparse area is used as the reference sample point for the seventh candidate sample point in the unit to be evaluated; the eighth sample point in the sample point non-sparse area is used as the reference sample point for the first candidate sample point in the unit to be evaluated. The number N given above is only illustrative, and is not a specific limitation on the number of reference sample points.

[0051] In a possible implementation, the method further includes: determining the number of reference sample points according to the sample point richness of the unit to be evaluated and the sample point richness of the region.

[0052] Among them, the sample point richness of the area can be configured as a sample point richness threshold.

[0053] In the embodiment of the present invention, reference sample points are set to the unit to be evaluated because the unit to be evaluated is a sample sparse area with a small number of existing sample points. After the reference sample points are set, the candidate sample points corresponding to the reference sample points in the unit to be evaluated are equivalent to the existing sample points. At this time, when calculating the sample point richness of the unit to be evaluated, if the number of reference sample points is taken into account, if the sample point richness of the unit to be evaluated can be greater than or equal to the sample point richness threshold, then there are enough sample points with soil properties in the unit to be evaluated.

[0054] Step S104, obtaining a soil property evaluation result of the unit to be evaluated according to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points.

[0055] In a possible implementation, in step S104, a soil property evaluation result of the unit to be evaluated is obtained based on the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points, including: calculating the mean soil property of the unit to be evaluated based on the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points to obtain the soil property evaluation result.

[0056] In the embodiment of the present invention, the elements before the N numbers in the sorting are respectively , , under the circumstances.

[0057] According to the soil properties of the first sample point in the non-sparse area of ​​the sample points, the soil properties of the third candidate sample point in the unit to be evaluated are assigned. According to the soil properties of the sixth sample point in the non-sparse area of ​​the sample points, the soil properties of the seventh candidate sample point in the unit to be evaluated are assigned. According to the soil properties of the eighth sample point in the non-sparse area of ​​the sample points, the soil properties of the first candidate sample point in the unit to be evaluated are assigned.

[0058] Finally, based on all the sample points with soil properties in the unit to be evaluated, the mean value of the soil properties of the unit to be evaluated is calculated to obtain the soil property evaluation result.

[0059] In a possible implementation manner, in step S104, the method further includes: Mapping is performed using a mapping model such as a geostatistical model through existing sample points in the unit to be evaluated and candidate sample points assigned by reference sample points; during the mapping process, multiple points to be estimated are interpolated and configured in the unit to be evaluated.

[0060] The point to be estimated is assigned a value through the soil properties of the existing sample points around the point to be estimated and the candidate sample points assigned by the reference sample points, and the mapping result is obtained. The mean value of the evaluation unit is calculated based on the soil property distribution in the evaluation unit.

[0061] In a possible implementation, the method further includes: directly obtaining a soil property evaluation result of the evaluation unit according to the soil properties of the existing sample points in the evaluation unit. The evaluation unit is an evaluation unit located in a non-sparse area of ​​the sample points.

[0062] The present invention can achieve the following beneficial effects by adopting the above method: 1. The evaluation units are divided into sparse sample point areas and non-sparse sample point areas according to the sample point richness and spatial clustering of each evaluation unit in the region; and sample points with regional environments similar to those of candidate sample points in the unit to be evaluated are selected from the non-sparse sample point areas as reference sample points for the unit to be evaluated, ensuring that there are relatively representative sample points in each evaluation unit to characterize the soil property distribution characteristics in the region, thereby improving the accuracy of regional soil property evaluation at the same survey and monitoring cost.

[0063] 2. Construct a regional triangulated network of the region, and obtain the spatial aggregation of the sample points of each evaluation unit according to the spatial aggregation of the sample points in each triangular area, which can effectively characterize the distribution characteristics of the soil sampling points in the region.

[0064] 3. Based on the sample point richness and spatial clustering of the samples, candidate sample points are assigned and mapped for the evaluation units to ensure the accuracy of soil property characterization within the evaluation units.

[0065] The regional soil property evaluation device provided by the present invention is described below. The regional soil property evaluation device described below and the regional soil property evaluation method described above can be referenced to each other.

[0066] Figure 5 A schematic diagram of the structure of a regional soil property evaluation device provided by the present invention includes the following parts: The region division module 510 is used to divide the region into multiple evaluation units and obtain the sample point richness and sample point spatial aggregation of each evaluation unit.

[0067] The unit division module 520 is used to divide the multiple evaluation units into sample point sparse areas and sample point non-sparse areas according to the sample point richness and the sample point spatial aggregation.

[0068] The sample point selection module 530 is used to select at least one sample point from the sample point non-sparse area as a reference sample point for the unit to be evaluated according to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area; the unit to be evaluated is an evaluation unit located in the sample point sparse area.

[0069] The unit evaluation module 540 is used to obtain the soil property evaluation result of the unit to be evaluated according to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points.

[0070] In a possible implementation, the region division module 510 is specifically configured to: According to the number of existing sampling points and unit area of ​​each evaluation unit, the sampling point richness of each evaluation unit is obtained.

[0071] In a possible implementation, the region division module 510 is specifically configured to: According to the sample point position of each sample point in the area, a regional triangulation network of the area is constructed; the regional triangulation network is composed of multiple triangulated areas; According to the area of ​​each triangular area, the area of ​​the largest triangular area, and the area of ​​the smallest triangular area, the spatial aggregation degree of the sample points in each triangular area is obtained; According to the area weight of each triangular region in each evaluation unit and the spatial aggregation degree of the sample points in each triangular region, the spatial aggregation degree of the sample points in each evaluation unit is obtained.

[0072] In a possible implementation, the unit division module 520 is specifically configured to: Determine whether the sample point richness of the evaluation unit is greater than or equal to the sample point richness threshold, and determine whether the sample point spatial aggregation of the evaluation unit is greater than or equal to the sample point spatial aggregation threshold; If the sample point richness of the evaluation unit is greater than or equal to the sample point richness threshold, and the sample point spatial aggregation is less than the sample point spatial aggregation threshold, the evaluation unit is divided into a sample point non-sparse area; otherwise, the evaluation unit is divided into a sample point sparse area.

[0073] In a possible implementation manner, the sample point selection module 530 is specifically configured to: According to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the non-sparse area of ​​the sample points, a similarity matrix is ​​constructed; the size of the similarity matrix is ​​determined by the number of candidate sample points in the unit to be evaluated and the number of sample points in the non-sparse area of ​​the sample points; Sort the similarity values ​​of each element in the similarity matrix from large to small, and select the first N elements in the sorting; where N is the number of reference samples; The sample points in the non-sparse area of ​​the sample points corresponding to the first N number of elements in the sorting are obtained as reference sample points of the unit to be evaluated.

[0074] In a possible implementation manner, the sample point selection module 530 is further configured to: Determine the number of reference sampling points based on the sampling point richness of the unit to be evaluated and the sampling point richness of the region.

[0075] In a possible implementation, the unit evaluation module 540 is specifically configured to: According to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points, the mean value of the soil properties of the unit to be evaluated is calculated to obtain the soil property evaluation result.

[0076] Figure 6 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 6As shown, the electronic device may include: a processor 610, a communications interface 620, a memory 630 and a communication bus 640, wherein the processor 610, the communications interface 620 and the memory 630 communicate with each other through the communication bus 640. The processor 610 may call the logic instructions in the memory 630 to execute a regional soil property evaluation method, which includes: Divide the area into multiple evaluation units, and obtain the sample richness and sample spatial aggregation of each evaluation unit; According to the sample point richness and sample point spatial aggregation, multiple evaluation units are divided into sample point sparse areas and sample point non-sparse areas; According to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area, at least one sample point is selected from the sample point non-sparse area as a reference sample point for the unit to be evaluated; the unit to be evaluated is an evaluation unit located in the sample point sparse area; According to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points, the soil property evaluation result of the unit to be evaluated is obtained.

[0077] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0078] On the other hand, the present invention also provides a computer program product, the computer program product includes a computer program, the computer program can be stored in a non-transitory computer-readable storage medium, when the computer program is executed by a processor, the computer can execute a regional soil property evaluation method provided by the above methods, the method comprising: Divide the area into multiple evaluation units, and obtain the sample richness and sample spatial aggregation of each evaluation unit; According to the sample point richness and sample point spatial aggregation, multiple evaluation units are divided into sample point sparse areas and sample point non-sparse areas; According to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area, at least one sample point is selected from the sample point non-sparse area as a reference sample point for the unit to be evaluated; the unit to be evaluated is an evaluation unit located in the sample point sparse area; According to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points, the soil property evaluation result of the unit to be evaluated is obtained.

[0079] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform a regional soil property evaluation method provided by the above methods, the method comprising: Divide the area into multiple evaluation units, and obtain the sample richness and sample spatial aggregation of each evaluation unit; According to the sample point richness and sample point spatial aggregation, multiple evaluation units are divided into sample point sparse areas and sample point non-sparse areas; According to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area, at least one sample point is selected from the sample point non-sparse area as a reference sample point for the unit to be evaluated; the unit to be evaluated is an evaluation unit located in the sample point sparse area; According to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points, the soil property evaluation result of the unit to be evaluated is obtained.

[0080] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, i.e., they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative effort.

[0081] Through the description of the above implementation modes, those skilled in the art can clearly understand that each implementation mode can be implemented by means of software plus a necessary general hardware platform, or of course by hardware. Based on such an understanding, the above technical solution can essentially or in other words be embodied in the form of a software product that contributes to the prior art. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods of each embodiment or some parts of the embodiment.

[0082] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for evaluating regional soil properties, characterized in that: include: Divide the area into multiple evaluation units, and obtain the sample point richness and sample point spatial aggregation of each evaluation unit; According to the sample point richness and the sample point spatial aggregation, the plurality of evaluation units are divided into a sample point sparse area and a sample point non-sparse area; According to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area, at least one sample point is selected from the sample point non-sparse area as a reference sample point of the unit to be evaluated; The unit to be evaluated is an evaluation unit located in the sample sparse area; The soil property evaluation result of the unit to be evaluated is obtained according to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points.

2. The method for evaluating regional soil properties according to claim 1, characterized in that: Obtaining the sample point richness of each evaluation unit, including: The sample point richness of each evaluation unit is obtained according to the existing sample point quantity and unit area of ​​each evaluation unit.

3. The regional soil property evaluation method according to claim 1, characterized in that: Obtaining the spatial aggregation degree of the sample points of each evaluation unit includes: According to the sample point position of each sample point in the region, a regional triangulation network of the region is constructed; the regional triangulation network is composed of a plurality of triangulated regions; According to the area of ​​each triangular area, the area of ​​the largest triangular area and the area of ​​the smallest triangular area, the spatial aggregation degree of the sample points in each triangular area is obtained; The spatial aggregation degree of the sample points of each evaluation unit is obtained according to the area weight of each triangular region in each evaluation unit and the spatial aggregation degree of the sample points of each triangular region.

4. The regional soil property evaluation method according to claim 1, characterized in that: The step of dividing the plurality of evaluation units into a sample point sparse area and a sample point non-sparse area according to the sample point richness and the sample point spatial aggregation degree comprises: Determine whether the sample point richness of the evaluation unit is greater than or equal to the sample point richness threshold, and determine whether the sample point spatial aggregation of the evaluation unit is greater than or equal to the sample point spatial aggregation threshold; If the sample point richness of the evaluation unit is greater than or equal to the sample point richness threshold, and the sample point spatial aggregation is less than the sample point spatial aggregation threshold, the evaluation unit is divided into a sample point non-sparse area; otherwise, the evaluation unit is divided into a sample point sparse area.

5. The method for evaluating regional soil properties according to claim 1, characterized in that: The selecting at least one sample point from the sample point non-sparse area as a reference sample point of the unit to be evaluated according to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area, comprises: Constructing a similarity matrix according to the regional environmental similarities between the candidate sample points in the unit to be evaluated and the sample points in the non-sparse area of ​​the sample points; the size of the similarity matrix is ​​determined by the number of candidate sample points in the unit to be evaluated and the number of sample points in the non-sparse area of ​​the sample points; Sort the similarity values ​​of each element in the similarity matrix from large to small, and select the top N elements in the sorting; wherein N is the number of reference sample points; The sample points in the non-sparse area of ​​the sample points corresponding to the first N number of elements in the sorting are obtained as reference sample points of the unit to be evaluated.

6. The method for evaluating regional soil properties according to claim 5, characterized in that: Also includes: The number of the reference sample points is determined according to the sample point richness of the unit to be evaluated and the sample point richness of the area.

7. The method for evaluating regional soil properties according to claim 1, characterized in that: The step of obtaining the soil property evaluation result of the unit to be evaluated according to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points includes: According to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points, the mean value of the soil properties of the unit to be evaluated is calculated to obtain a soil property evaluation result.

8. A regional soil property evaluation device, characterized in that: include: A region division module is used to divide the region into multiple evaluation units and obtain the sample point richness and sample point spatial aggregation of each evaluation unit; A unit division module, used for dividing the plurality of evaluation units into a sample point sparse area and a sample point non-sparse area according to the sample point richness and the sample point spatial aggregation degree; A sample point selection module, configured to select at least one sample point from the sample point non-sparse area as a reference sample point of the unit to be evaluated according to the regional environmental similarity between the candidate sample points in the unit to be evaluated and the sample points in the sample point non-sparse area; The unit to be evaluated is an evaluation unit located in the sample sparse area; The unit evaluation module is used to obtain the soil property evaluation result of the unit to be evaluated according to the soil properties of the existing sample points in the unit to be evaluated and the soil properties of the reference sample points.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the method for evaluating regional soil properties as described in any one of claims 1 to 7 is implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for evaluating regional soil properties as described in any one of claims 1 to 7 is implemented.

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